edited by: Shaurya Sharma
Last Update: December 20, 2022, 09:38 AM IST
New technology has been developed to help digitize handwritten medical documents by working closely with humans such as pharmacists. (Image: Google)
Google’s new AI-ML model could significantly improve the accuracy and efficiency of the prescription process, potentially reducing the risk of errors and improving patient safety.
During the ‘Google for India’ event organized in India On Monday, Google unveiled a new artificial intelligence (AI) and machine learning (ML) model capable of identifying and highlighting drugs within handwritten prescriptions that are difficult to read.
This innovative device could significantly improve the accuracy and efficiency of the prescription process, potentially reducing the risk of errors and improving patient safety.
The feature is implemented in Google Lens; Ergo, users can simply click a picture of a doctor’s prescription, and use Google Lens to reveal the prescribed drugs.
New technology has been developed to help digitize handwritten medical documents by working closely with humans such as pharmacists in the process. However, it is important to note that no decision will be taken based on the output provided by this technique. Rather, it is intended to serve as a tool to support and enhance the work of healthcare professionals rather than replace their expertise.
Commenting on the reveal, Google said, “It will act as an assistive technology for digitizing handwritten medical documents by increasing people such as pharmacists in the loop, however, depending on the output provided by this technology But no decision will be taken.”
In addition to new AI and ML models for drug identification in handwritten prescriptions, the company announced its efforts to develop a model that combines advanced AI and ML capabilities with remote sensing technology to provide a comprehensive understanding of India’s agricultural landscape. can do.
Additionally, Google Pay is also introducing additional security measures, such as multi-layered intelligent alerts that will notify users when suspicious behavior is detected by the company’s fraud detection system.
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